Ting-Chun Wang is a senior research scientist at NVIDIA in Santa Clara, USA. He obtained his Ph.D. in EECS from UC Berkeley, advised by Professor Ravi Ramamoorthi and Alexei A. Efros. He is a recipient of the Berkeley Fellowship. He won the 1st place in the Domain Adaptation for Semantic Segmentation Competition in CVPR, 2018. His semantic image synthesis paper was in the best paper finalist in CVPR, 2019. He served as an area chair in WACV, 2020.
His research interests include computer vision, machine learning and computer graphics, particularly the intersections of all three. His recent focus is on using generative adversarial models to synthesize realistic images and videos, with applications to rendering, visual manipulations and beyond.
For a complete list of his publications and more details about his research, please visit https://tcwang0509.github.io/.
